The operating decision
Use severity based on business impact, confidence, and persistence—not on how dramatic the wording sounds.
Build the workflow
| Step | Action |
|---|---|
| 1 | Create distinct queues for data quality, visibility, Sentiment, accuracy, and citations |
| 2 | Require persistence or cross-prompt evidence for medium-severity changes |
| 3 | Deduplicate alerts that share the same root observation |
| 4 | Set ownership, response target, and resolution note for every severity |
| 5 | Review alert usefulness monthly and remove rules with no resulting action |
Example handoff
Ten alerts caused by one platform outage should become one collection incident. They should not appear as ten brand visibility losses.
Limits and UnderAI's role in alert fatigue in AI search monitoring
Thresholds depend on panel size and business risk. A small high-stakes prompt group may justify manual review even when automatic confidence is low.
UnderAI preserves missing-data and snapshot evidence, helping operators distinguish collection incidents from actual answer changes.